Genetics Selection Evolution is an open access, peer-reviewed, online journal dedicated to original research on all aspects of genetics and selection in farm animal species and in other species that provide novel and/or relevant insights into the genetics of farm animals. Read more.
Aims and scope
Announcing our expansion in scope
Historically Genetics Selection Evolution has been focused on publishing studies based on genetic and genomic data, but with vast increases in the spectrum of other -omic data and fast evolving statistical and computing technologies, we are extending our scope to also support contributions on other -omic data and the use of biotechnology in animal breeding.
Please see here for a full description of our journal scope. We would like to emphasize that contributions must include statements on the relevance of the work to the broader readership of the journal.
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Articles
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QTL analysis to identify genes involved in the trade-off between silk protein synthesis and larva-pupa transition in silkworms
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A million-cow genome-wide association study of productive life in U.S. Holstein cows
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Identification of genomic regions associated with fatty acid metabolism across blood, liver, backfat and muscle in pigs
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Genotyping both live and dead animals to improve post-weaning survival of pigs in breeding programs
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A review on SNP and other types of molecular markers and their use in animal genetics
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Ancient DNA studies: new perspectives on old samples
The Erratum to this article has been published in Genetics Selection Evolution 2013 45:4
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Direct and social genetic parameters for growth and fin damage traits in Atlantic cod (Gadus morhua)
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Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models
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Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits
2019
Retrospective Collection
Celebrating Genetics Selection Evolution’s 50th anniversary
Collection showcasing influential papers published in the journal over the past five decades.
Published: 19 November 2019
2018
Thematic Series
Goat ADAPTmap Project
Collection featuring research from the Goat AdaptMap project, a worldwide analysis of goat biodiversity.
Published: 19 November 2018
2016
Thematic Series
International Symposium on Functional Animal Genomics 2015
Collection featuring research and reviews from the International Symposium on Function Animal Genomics, held in Piacenza, Italy on 27th-29th July 2015.
Published: 29 March 2016
Editors-in-Chief
Didier Boichard, PhD, INRAE, France
Mario Calus, PhD, Wageningen University, Netherlands
Jack Dekkers, PhD, Iowa State University, US
Thomas Faraut, PhD, INRAE, France
Managing Editor
Alexandra Badiou-Beneteau, PhD, INRAE, France
New Thematic Series: Celebrating Rohan Fernando’s contributions to quantitative genetics
On the occasion of Rohan Fernando’s retirement from his position as Professor of Animal Science at Iowa State University, Genetics Selection Evolution is proud to publish a special series of papers by several of Rohan’s collaborators and colleagues (past and present) to honor his important contributions to quantitative genetics, especially to animal breeding. Details are described in the Editorial prepared for the series. Papers will be released as they have successfully completed the standard peer review process.
Organizing Editor: Jack Dekkers , Iowa State University, United States
Read MoreFeatured Articles
Featured: Improving selection decisions with mating information by accounting for Mendelian sampling variances looking two generations ahead
Breeding programs are judged by the genetic level of animals that are used to disseminate genetic progress. These animals are typically the best ones of the population. To maximise the genetic level of very good animals in the next generation, parents that are more likely to produce top performing offspring need to be selected. The ability of individuals to produce high-performing progeny differs because of differences in their breeding values and gametic variances. Differences in gametic variances among individuals are caused by differences in heterozygosity and linkage. The use of the gametic Mendelian sampling variance has been proposed before, for use in the usefulness criterion or Index5, and in this work, we extend existing approaches by not only considering the gametic Mendelian sampling variance of individuals, but also of their potential offspring. Thus, the criteria developed in this study plan one additional generation ahead. For simplicity, we assumed that the true quantitative trait loci (QTL) effects, genetic map and the haplotypes of all animals are known.
Featured: A meta-analysis of genetic and phenotypic diversity of European local pig breeds reveals genomic regions associated with breed differentiation for production traits
Intense selection of modern pig breeds has resulted in genetic improvement of production traits while the performance of local pig breeds has remained lower. As local pig breeds have been bred in extensive systems, they have adapted to specific environmental conditions, resulting in a rich genotypic and phenotypic diversity. This study is based on European local pig breeds that have been genetically characterized using DNA-pool sequencing data and phenotypically characterized using breed level phenotypes related to stature, fatness, growth, and reproductive performance traits. These data were analyzed using a dedicated approach to detect signatures of selection linked to phenotypic traits in order to uncover potential candidate genes that may underlie adaptation to specific environments.
Introducing our new Associate Editors
We are delighted to welcome our new Associate Editors and the expertise and the strength they bring to the board.
Xiangdong Ding is Professor at the China Agricultural University in the Department of Animal Breeding and Genetics. He has conducted cooperative research and visiting studies at the University of Göttingen in Germany, Aarhus University in Denmark, and University of California, Berkeley in the USA. His research interests include statistical genetics, animal molecular design and breeding, GWAS, genomic prediction, and analysis of the genetic basis of complex traits in pigs and cattle.
Christian Maltecca is a Professor of quantitative genetics and breeding in the Department of Animal Science at North Carolina State University, United States. His research program focuses on the genetic improvement in livestock, the optimization of statistical methods and breeding schemes under genomic selection , and the effective utilization of intermediate omics in selection programs with the use of non-parametric methods and machine learning methods.
Jesús Fernández MartÃn is geneticist at the National Institute of Agricultural and Food Research and Technology (INIA), Madrid, Spain. He is involved in the implementation of breeding programs in animal domestic species (especially aquatic species), the design of germplasm banks and the management of ex situ conservation programs. His research interests include: combining classical tools with molecular information in the design and management of breeding and conservation programs; control of inbreeding and loss of genetic diversity in breeding and conservation programs; incorporation of new traits (fertility, feed efficiency and disease resistance) to breeding programs; development of statistical methodologies for genomic evaluation. Currently, he is actively involved in the development of different measures of genetic diversity from molecular information, the determination of their utility for different tasks and the consequences arising from their use in the management of genetic resources.
About the Associate Editors
Find the Bios of our Associate Editors here
About the Editors-in-Chief
INRAE
Didier Boichard
Didier Boichard is currently leading the Cattle Genetics and Genomics research group in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.
His research is focused on dairy cattle genetics and breeding, particularly on the analysis of genetic variability of production and functional traits. He has managed the French national genetic evaluation for dairy cattle, sheep and goats and conducted projects for QTL detection and fine mapping. In 2002, in close collaboration with the French breeding industry, he implemented a large-scale marker-assisted selection programme, which has become a genomic selection programme since 2008.
Wageningen University
Mario Calus
Mario Calus is an associate professor at Animal Breeding and Genomics, Wageningen University, in The Netherlands.
His research in the past fifteen years mainly focused on the scientific development of genomic prediction and selection, and its implementation in collaboration with the breeding industry. More recently, this includes using other omics data in addition to structural genomic variation, to partition phenotypic variance and predict phenotypes.
Iowa State University
Jack Dekkers
Jack Dekkers is a distinguished professor of animal breeding and genetics in the Department of Animal Science at Iowa State University (USA).
His areas of research are quantitative genetics and animal breeding with application to swine and poultry genetics, including the use of molecular genetic and genomic information, QTL detection, marker-assisted and genomic selection, design, optimization and economic aspects of breeding strategies, and genetic aspects of residual feed intake in pigs.
INRAE
Helene Hayes
Helene Hayes is a researcher in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.
Her main focus is animal cytogenetics with a special interest on cattle, goat, sheep and rabbit cytogenetic maps and comparative mapping. Since 2005, she dedicates half her time to the management of the journal Genetics Selection Evolution.
Official journal of
Annual Journal Metrics
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Citation Impact 2023
Journal Impact Factor: 3.6
5-year Journal Impact Factor: 4.1
Source Normalized Impact per Paper (SNIP): 1.362
SCImago Journal Rank (SJR): 1.025Speed 2023
Submission to first editorial decision (median days): 11
Submission to acceptance (median days): 233Usage 2023
Downloads: 884,784
Altmetric mentions: 461